IDEAS home Printed from https://ideas.repec.org/a/dbk/gammif/v3y2025ip113id113.html
   My bibliography  Save this article

Artificial Intelligence in Nursing: applications, challenges and future directions

Author

Listed:
  • Luís Sousa
  • Maria Leonor Carvalho
  • Ricardo Mestre
  • João Tomás
  • Sandy Severino
  • Helena José

Abstract

Introduction: the digital transformation, which is happening at great speed, has had an impact on all sectors of society and requires nursing to rethink its professional practices, value ongoing training and actively participate in the ethical and contextualized development of these technologies. Objective: to analyze the influence of Artificial Intelligence in Nursing, highlighting its transformative potential in the fields of education, practice and care management. Method: a search was carried out in databases and a critical-reflective analysis of the articles found was performed. Results: artificial Intelligence enables the automation of tasks, predictive data analysis and clinical decision support, contributing to more efficient and person-centered care. However, its integration raises ethical, legal and training challenges, requiring digital literacy and critical reflection. The importance of nurses' active participation in the development, implementation and evaluation of these technologies is highlighted, as well as the need for curricular reform in higher education. The creation of specific training platforms could support the continuous training of professionals. Conclusion: the healthcare institutions must define clear guidelines for the use of Artificial Intelligence, recognizing it as a complementary tool to human work. The critical discernment of nurses is essential to ensure ethical and person-centered use.

Suggested Citation

Handle: RePEc:dbk:gammif:v:3:y:2025:i::p:113:id:113
DOI: 10.56294/gr2025113
as

Download full text from publisher

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a
for a similarly titled item that would be available.

More about this item

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dbk:gammif:v:3:y:2025:i::p:113:id:113. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Javier Gonzalez-Argote (email available below). General contact details of provider: https://gr.ageditor.ar/ .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.